Data processing method and system for engineering financial management

Abstract

The present invention discloses a data processing method and system for engineering financial management, the method comprising: obtaining a financial planning request for a target engineering project from a financial planning device; generating a financial plan corresponding to the target engineering project according to the financial planning request and the approval result of an approval end device; obtaining a fee payment request, generating a payment plan corresponding to the fee payment request according to the request information corresponding to the financial plan and the fee payment request; generating a financial evaluation result corresponding to the target engineering project according to all the fee payment requests, the payment plan and the financial plan in the historical time period corresponding to the target engineering project. It can be seen that the present invention realizes the automated processing flow of financial planning, can improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering data processing, and in particular to a data processing method and system for engineering financial management. Background Art

[0002] With the improvement of material living standards, the number and scale of construction projects are also growing. How to achieve efficient processing of project financial data and financial approval is an important problem. However, the existing financial data processing process lacks automated processing procedures, resulting in low work efficiency, insufficient financial planning, unclear payment process, incomplete financial evaluation indicators, inability to effectively identify the authenticity of payment requests, and inaccurate financial evaluation results. It can be seen that the existing technology has defects and needs to be solved urgently. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a data processing method and system for engineering financial management, which can improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0004] In order to solve the above technical problems, the present invention discloses a data processing method for project financial management in a first aspect, the method comprising:

[0005] Obtaining a financial planning request for a target engineering project from a financial planning device; the financial planning request is used to be sent to at least one approval end device according to a preset approval rule;

[0006] Generate a financial plan corresponding to the target project according to the financial planning request and the approval result of the approval terminal device;

[0007] Obtaining a fee payment request, and generating a payment plan corresponding to the fee payment request according to the financial plan and request information corresponding to the fee payment request;

[0008] A financial evaluation result corresponding to the target engineering project is generated according to all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project.

[0009] As an optional implementation manner, in the first aspect of the present invention, the financial planning request includes a planning project name, a planning time limit requirement, a planning responsible department, a planning responsible person, planning node requirements and planning attachments.

[0010] As an optional implementation, in the first aspect of the present invention, the fee payment request includes a team payment request; the team payment request includes an associated project, team unit information, contract number, amount payable, arranged funds, unarranged funds, installment information and applicant information; and generating a payment plan corresponding to the fee payment request according to the financial plan and the request information corresponding to the fee payment request includes:

[0011] Generate a team payment plan according to the financial plan and the team payment request;

[0012] sending the team payment plan to at least one approval device;

[0013] A payment instruction for the team payment plan is generated according to the approval result of the approval device.

[0014] As an optional embodiment, in the first aspect of the present invention, the financial evaluation results include at least one of target profit margin, management cost savings, settlement profit margin, contract profit margin, dynamic profit margin, completed output value ratio, receivables to output value ratio, invoicing ratio, collection ratio, material payable ratio, other payable ratios, payment ratio and purchase and sales invoice ratio.

[0015] As an optional implementation, in the first aspect of the present invention, generating a team payment plan according to the financial plan and the team payment request includes:

[0016] Obtain key information in the team payment request; the key information includes related projects, team unit information, contract number and amount payable;

[0017] Based on the preset data matching rules and neural network algorithm, the key information and the financial plan are matched to obtain the request authenticity information corresponding to the team payment request;

[0018] Generate a team payment plan corresponding to the team payment request and including authenticity information of the request.

[0019] As an optional implementation, in the first aspect of the present invention, the key information and the financial plan are matched based on a preset data matching rule and a neural network algorithm to obtain the request authenticity information corresponding to the team payment request, including:

[0020] Acquire multiple historical team payment requests of the requesting end device of the team payment request;

[0021] Inputting the key information in the multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations;

[0022] Inputting the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request;

[0023] Calculating a first similarity between the association information and corresponding project association information in the financial scheme;

[0024] Calculating an average similarity of second similarities between all the historical association information and corresponding project association information in the financial plan;

[0025] The product of the first similarity and the average similarity is calculated to obtain the request authenticity information corresponding to the team payment request.

[0026] As an optional implementation manner, in the first aspect of the present invention, generating a financial evaluation result corresponding to the target engineering project according to all the fee payment requests, the payment schemes and the financial schemes in the historical time period corresponding to the target engineering project includes:

[0027] For any financial evaluation result item, obtain the information screening rules and evaluation calculation model corresponding to the financial evaluation result item;

[0028] Determine the required project data corresponding to the financial evaluation result project according to all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project, and the information screening rules;

[0029] The data required for the project is input into the evaluation calculation model to obtain the evaluation result corresponding to the financial evaluation result project.

[0030] A second aspect of the present invention discloses a data processing system for project financial management, the system comprising:

[0031] An acquisition module, used to acquire a financial planning request for a target project from a financial planning device; the financial planning request is used to be sent to at least one approval end device according to a preset approval rule;

[0032] A planning module, used to generate a financial plan corresponding to the target engineering project according to the financial planning request and the approval result of the approval terminal device;

[0033] A payment module, used to obtain a fee payment request, and generate a payment plan corresponding to the fee payment request according to the financial plan and the request information corresponding to the fee payment request;

[0034] An evaluation module is used to generate a financial evaluation result corresponding to the target engineering project based on all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project.

[0035] As an optional implementation, in the second aspect of the present invention, the financial planning request includes a planning project name, a planning time limit requirement, a planning responsible department, a planning responsible person, planning node requirements and planning attachments.

[0036] As an optional implementation, in the second aspect of the present invention, the fee payment request includes a team payment request; the team payment request includes an associated project, team unit information, contract number, amount payable, arranged funds, unarranged funds, installment information and applicant information; and the payment module generates a specific method of the payment scheme corresponding to the fee payment request according to the financial scheme and the request information corresponding to the fee payment request, including:

[0037] Generate a team payment plan according to the financial plan and the team payment request;

[0038] sending the team payment plan to at least one approval device;

[0039] A payment instruction for the team payment plan is generated according to the approval result of the approval device.

[0040] As an optional embodiment, in the second aspect of the present invention, the financial evaluation results include at least one of target profit margin, management cost savings, settlement profit margin, contract profit margin, dynamic profit margin, completed output value ratio, receivables to output value ratio, invoicing ratio, collection ratio, material payable ratio, other payable ratios, payment ratio and purchase and sales invoice ratio.

[0041] As an optional implementation, in the second aspect of the present invention, the payment module generates a specific method of the team payment plan according to the financial plan and the team payment request, including:

[0042] Obtain key information in the team payment request; the key information includes related projects, team unit information, contract number and amount payable;

[0043] Based on the preset data matching rules and neural network algorithm, the key information and the financial plan are matched to obtain the request authenticity information corresponding to the team payment request;

[0044] Generate a team payment plan corresponding to the team payment request and including authenticity information of the request.

[0045] As an optional implementation, in the second aspect of the present invention, the payment module matches the key information with the financial plan based on a preset data matching rule and a neural network algorithm to obtain a specific method of request authenticity information corresponding to the team payment request, including:

[0046] Acquire multiple historical team payment requests of the requesting end device of the team payment request;

[0047] Inputting the key information in the multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations;

[0048] Inputting the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request;

[0049] Calculating a first similarity between the association information and corresponding project association information in the financial scheme;

[0050] Calculating an average similarity of second similarities between all the historical association information and corresponding project association information in the financial plan;

[0051] The product of the first similarity and the average similarity is calculated to obtain the request authenticity information corresponding to the team payment request.

[0052] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the evaluation module generates the financial evaluation result corresponding to the target engineering project according to all the fee payment requests, the payment schemes and the financial schemes in the historical time period corresponding to the target engineering project includes:

[0053] For any financial evaluation result item, obtain the information screening rules and evaluation calculation model corresponding to the financial evaluation result item;

[0054] Determine the required project data corresponding to the financial evaluation result project according to all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project, and the information screening rules;

[0055] The data required for the project is input into the evaluation calculation model to obtain the evaluation result corresponding to the financial evaluation result project.

[0056] The third aspect of the present invention discloses another data processing system for project financial management, the system comprising:

[0057] A memory storing executable program code;

[0058] a processor coupled to the memory;

[0059] The processor calls the executable program code stored in the memory to execute part or all of the steps in the data processing method for engineering financial management disclosed in the first aspect of the present invention.

[0060] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the data processing method for engineering financial management disclosed in the first aspect of the present invention.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The present invention realizes the automated processing flow of financial planning, including generating financial plans and final expense payment requests and payment plans, and analyzing financial evaluation results, thereby improving work efficiency, reducing labor costs, and ensuring the accuracy and timeliness of financial planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0064] Figure 1 It is a flow chart of a data processing method for engineering financial management disclosed in an embodiment of the present invention;

[0065] Figure 2 It is a structural schematic diagram of a data processing system for engineering financial management disclosed in an embodiment of the present invention;

[0066] Figure 3 It is a structural schematic diagram of another data processing system for engineering financial management disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or terminal including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or terminals.

[0069] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0070] The present invention discloses a data processing method and system for engineering financial management, which realizes the automated processing flow of financial planning, including generating financial plans and final expense payment requests and payment plans, and analyzing financial evaluation results, thereby improving work efficiency, reducing labor costs, and ensuring the accuracy and timeliness of financial planning. The following are detailed descriptions.

[0071] Embodiment 1

[0072] See also Figure 1 , Figure 1 1 is a flow chart of a data processing method for engineering financial management disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to corresponding data processing devices, data processing terminals, and data processing servers, and the server can be a local server or a cloud server, and the embodiments of the present invention are not limited to the following. Figure 1 As shown, the data processing method for engineering financial management may include the following operations:

[0073] 101. Obtain financial planning requests for target projects from financial planning equipment.

[0074] Optionally, the financial planning request is used to be sent to at least one approval end device according to preset approval rules.

[0075] 102. Generate the financial plan corresponding to the target project based on the financial planning request and the approval result of the approval end equipment.

[0076] 103. Obtain a fee payment request, and generate a payment plan corresponding to the fee payment request according to the financial plan and request information corresponding to the fee payment request.

[0077] 104. Generate a financial evaluation result corresponding to the target project based on all expense payment requests, payment plans and financial plans in the historical time period corresponding to the target project.

[0078] It can be seen that the implementation of the method described in the embodiment of the present invention realizes the automated processing flow of financial planning, including generating a financial plan and the final fee payment request and payment plan, and analyzing the financial evaluation results, thereby improving work efficiency, reducing labor costs, and ensuring the accuracy and timeliness of financial planning.

[0079] As an optional embodiment, the financial planning request in the above step includes the planning project name, planning time limit requirement, planning responsible department, planning responsible personnel, planning node requirements and planning attachments.

[0080] Through the above embodiments, the specific content of the financial planning request is clarified, including detailed information such as the planning project name, time limit requirements, responsible departments and personnel, which helps to more accurately define the financial planning tasks and clarify the attribution of responsibilities, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0081] As an optional embodiment, the fee payment request includes a team payment request; the team payment request includes the associated project, team unit information, contract number, amount payable, arranged funds, unarranged funds, installment information and applicant information.

[0082] And, in the above step, generating a payment scheme corresponding to the fee payment request according to the financial scheme and the request information corresponding to the fee payment request includes:

[0083] Generate a team payment plan based on the financial plan and team payment request;

[0084] Sending the team payment plan to at least one approval device;

[0085] Generate payment instructions for the team payment plan based on the approval results of the approval device.

[0086] Through the above embodiments, the processing flow of expense payment requests is refined, including the generation, approval and payment instruction of team payment plans, so that each step of expense payment has a clear process and responsible person, which improves the transparency and efficiency of expense payment, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0087] As an optional embodiment, the financial evaluation results in the above steps include at least one of target profit margin, management cost savings, settlement profit margin, contract profit margin, dynamic profit margin, completed output value ratio, receivables to output value ratio, invoicing ratio, collection ratio, material payable ratio, other payable ratio, payment ratio and purchase and sales invoice ratio.

[0088] Through the above embodiments, the indicator range of the financial evaluation results is clarified, including various profit margins and ratios, etc. These indicators can help the management to fully understand the financial status of the project and provide a basis for decision-making, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0089] As an optional embodiment, the step of generating a team payment plan according to the financial plan and the team payment request in the above step includes:

[0090] Obtain key information in the team payment request; key information includes related projects, team unit information, contract number and amount payable;

[0091] Based on the preset data matching rules and neural network algorithms, key information and financial solutions are matched to obtain the authenticity information of the request corresponding to the team payment request;

[0092] Generate a team payment plan corresponding to the team payment request including request authenticity information.

[0093] Through the above-mentioned embodiments, the preset data matching rules and neural network algorithms are used to verify the authenticity of the team payment request, which can effectively prevent the generation of false payment requests and ensure the accuracy of financial data, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0094] As an optional embodiment, the above steps match the key information and the financial plan based on the preset data matching rules and neural network algorithm to obtain the request authenticity information corresponding to the team payment request, including:

[0095] Acquire multiple historical team payment requests of a requesting end device of a team payment request;

[0096] Inputting key information in multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations;

[0097] Input the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request;

[0098] Calculating a first similarity between the association information and corresponding project association information in the financial plan;

[0099] Calculating an average similarity of the second similarities between all the historical association information and the corresponding project association information in the financial plan;

[0100] The product of the first similarity and the average similarity is calculated to obtain the request authenticity information corresponding to the team payment request.

[0101] Through the above embodiment, a neural network algorithm is used to identify the authenticity of the team payment request. By comparing the correlation between historical data and current data, the accuracy of authenticity identification is improved, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0102] As an optional embodiment, the above steps of generating a financial evaluation result corresponding to the target project according to all the fee payment requests, payment plans and financial plans in the historical time period corresponding to the target project include:

[0103] For any financial evaluation result item, obtain the information screening rules and evaluation calculation model corresponding to the financial evaluation result item;

[0104] According to all the expense payment requests, payment plans and financial plans in the historical time period corresponding to the target engineering project, as well as the information screening rules, the required project data corresponding to the financial evaluation result project is determined;

[0105] Input the data required for the project into the evaluation calculation model to obtain the evaluation results corresponding to the financial evaluation result project.

[0106] Through the above embodiments, by applying information screening rules and evaluation calculation models, the objectivity and scientificity of financial evaluation results are ensured, thereby assisting the entire financial management system to improve work efficiency, reduce labor costs, and ensure the accuracy and timeliness of financial planning.

[0107] Embodiment 2

[0108] See also Figure 2, Figure 2 1 is a schematic diagram of a data processing system for project financial management disclosed in an embodiment of the present invention. Figure 2 The described system can be applied to corresponding data processing devices, data processing terminals, and data processing servers, and the server can be a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 2 As shown, the system may include:

[0109] The acquisition module 201 is used to acquire a financial planning request for a target project from a financial planning device; the financial planning request is used to be sent to at least one approval end device according to a preset approval rule;

[0110] The planning module 202 is used to generate a financial plan corresponding to the target engineering project according to the financial planning request and the approval result of the approval terminal device;

[0111] The payment module 203 is used to obtain a fee payment request and generate a payment plan corresponding to the fee payment request according to the financial plan and the request information corresponding to the fee payment request;

[0112] The evaluation module 204 is used to generate a financial evaluation result corresponding to the target engineering project based on all the expense payment requests, payment plans and financial plans in the historical time period corresponding to the target engineering project.

[0113] As an optional embodiment, the financial planning request includes the planning project name, planning time limit requirement, planning responsible department, planning responsible personnel, planning node requirements and planning attachments.

[0114] As an optional embodiment, the expense payment request includes a team payment request; the team payment request includes the associated project, team unit information, contract number, payable amount, arranged funds, unarranged funds, installment information and applicant information; and the payment module 203 generates a specific method of the payment scheme corresponding to the expense payment request according to the financial scheme and the request information corresponding to the expense payment request, including:

[0115] Generate a team payment plan based on the financial plan and team payment request;

[0116] Sending the team payment plan to at least one approval device;

[0117] Generate payment instructions for the team payment plan based on the approval results of the approval device.

[0118] As an optional embodiment, the financial evaluation results include at least one of target profit margin, management cost savings, settlement profit margin, contract profit margin, dynamic profit margin, completed output value ratio, receivables to output value ratio, invoicing ratio, collection ratio, material payable ratio, other payable ratio, payment ratio and purchase and sales invoice ratio.

[0119] As an optional embodiment, the payment module 203 generates a specific method of the team payment plan according to the financial plan and the team payment request, including:

[0120] Obtain key information in the team payment request; key information includes related projects, team unit information, contract number and amount payable;

[0121] Based on the preset data matching rules and neural network algorithms, key information and financial solutions are matched to obtain the authenticity information of the request corresponding to the team payment request;

[0122] Generate a team payment plan corresponding to the team payment request including request authenticity information.

[0123] As an optional embodiment, the payment module 203 matches the key information with the financial plan based on the preset data matching rules and neural network algorithm to obtain the specific manner of the request authenticity information corresponding to the team payment request, including:

[0124] Acquire multiple historical team payment requests of a requesting end device of a team payment request;

[0125] Inputting key information in multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations;

[0126] Input the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request;

[0127] Calculating a first similarity between the association information and corresponding project association information in the financial plan;

[0128] Calculating an average similarity of the second similarities between all the historical association information and the corresponding project association information in the financial plan;

[0129] The product of the first similarity and the average similarity is calculated to obtain the request authenticity information corresponding to the team payment request.

[0130] As an optional embodiment, the evaluation module 204 generates a specific method of generating a financial evaluation result corresponding to the target project according to all the fee payment requests, payment plans and financial plans in the historical time period corresponding to the target project, including:

[0131] For any financial evaluation result item, obtain the information screening rules and evaluation calculation model corresponding to the financial evaluation result item;

[0132] According to all the expense payment requests, payment plans and financial plans in the historical time period corresponding to the target engineering project, as well as the information screening rules, the required project data corresponding to the financial evaluation result project is determined;

[0133] Input the data required for the project into the evaluation calculation model to obtain the evaluation results corresponding to the financial evaluation result project.

[0134] Embodiment 3

[0135] See also Figure 3 , Figure 3 FIG. 1 is a schematic diagram of another data processing system for project financial management disclosed in an embodiment of the present invention. Figure 3 As shown, the system may include:

[0136] A memory 301 storing executable program codes;

[0137] a processor 302 coupled to the memory 301;

[0138] The processor 302 calls the executable program code stored in the memory 301 to execute part or all of the steps in the data processing method for engineering financial management disclosed in the first embodiment of the present invention.

[0139] Embodiment 4

[0140] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all steps in the data processing method for engineering financial management disclosed in the first embodiment of the present invention.

[0141] The system embodiment described above is only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without paying creative labor.

[0142] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0143] Finally, it should be noted that the data processing method and system for engineering financial management disclosed in the embodiment of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data processing method for engineering financial management, characterized in that: The method comprises: Obtaining a financial planning request for a target engineering project from a financial planning device; the financial planning request is used to be sent to at least one approval end device according to a preset approval rule; Generate a financial plan corresponding to the target project according to the financial planning request and the approval result of the approval terminal device; Obtaining a fee payment request, the fee payment request including a team payment request; generating a payment plan corresponding to the fee payment request according to the financial plan and request information corresponding to the fee payment request, including: Obtain key information in the team payment request; the key information includes related projects, team unit information, contract number and amount payable; Acquire multiple historical team payment requests of the requesting end device of the team payment request; Inputting the key information in the multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations; Inputting the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request; Calculating a first similarity between the association information and corresponding project association information in the financial scheme; Calculating an average similarity of second similarities between all the historical association information and corresponding project association information in the financial plan; Calculate the product of the first similarity and the average similarity to obtain request authenticity information corresponding to the team payment request; Generate a team payment plan corresponding to the team payment request including authenticity information of the request; sending the team payment plan to at least one approval device; Generating a payment instruction for the team payment plan according to the approval result of the approval device; A financial evaluation result corresponding to the target engineering project is generated according to all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project.

2. The data processing method for engineering financial management according to claim 1, characterized in that: The financial planning request includes the planning project name, planning time limit requirements, planning responsible department, planning responsible personnel, planning node requirements and planning attachments.

3. The data processing method for engineering financial management according to claim 1, characterized in that: The team payment request includes related projects, team unit information, contract number, amount payable, arranged funds, unarranged funds, installment information and applicant information.

4. The data processing method for project financial management according to claim 1, characterized in that: The financial evaluation results include at least one of target profit margin, management cost savings, settlement profit margin, contract profit margin, dynamic profit margin, completed output value ratio, receivables to output value ratio, invoicing ratio, collection ratio, material payable ratio, other payable ratio, payment ratio and purchase and sales invoice ratio.

5. The data processing method for engineering financial management according to claim 1, characterized in that: Generating a financial evaluation result corresponding to the target engineering project according to all the fee payment requests, the payment scheme and the financial scheme in the historical time period corresponding to the target engineering project includes: For any financial evaluation result item, obtain the information screening rules and evaluation calculation model corresponding to the financial evaluation result item; Determine the required project data corresponding to the financial evaluation result project according to all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project, and the information screening rules; The data required for the project is input into the evaluation calculation model to obtain the evaluation result corresponding to the financial evaluation result project.

6. A data processing system for project financial management, characterized in that: The system comprises: An acquisition module, used to acquire a financial planning request for a target project from a financial planning device; the financial planning request is used to be sent to at least one approval end device according to a preset approval rule; A planning module, used to generate a financial plan corresponding to the target engineering project according to the financial planning request and the approval result of the approval terminal device; The payment module is used to obtain a fee payment request, wherein the fee payment request includes a team payment request; and generate a payment plan corresponding to the fee payment request according to the financial plan and the request information corresponding to the fee payment request, including: Obtain key information in the team payment request; the key information includes related projects, team unit information, contract number and amount payable; Acquire multiple historical team payment requests of the requesting end device of the team payment request; Inputting the key information in the multiple historical team payment requests into a preset association relationship extraction neural network to obtain multiple historical association information corresponding to the multiple historical team payment requests; the association relationship extraction neural network is trained by a training data set including multiple training key information and corresponding project association information annotations; Inputting the key information in the team payment request into the association extraction neural network to obtain the association information corresponding to the team payment request; Calculating a first similarity between the association information and corresponding project association information in the financial scheme; Calculating an average similarity of second similarities between all the historical association information and corresponding project association information in the financial plan; Calculate the product of the first similarity and the average similarity to obtain request authenticity information corresponding to the team payment request; Generate a team payment plan corresponding to the team payment request including authenticity information of the request; sending the team payment plan to at least one approval device; Generating a payment instruction for the team payment plan according to the approval result of the approval device; An evaluation module is used to generate a financial evaluation result corresponding to the target engineering project based on all the fee payment requests, the payment plans and the financial plans in the historical time period corresponding to the target engineering project.

7. A data processing system for project financial management, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data processing method for engineering financial management as described in any one of claims 1-5.

8. A computer storage medium, characterized in that The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the data processing method for engineering financial management as described in any one of claims 1-5.

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